Title: Research on the construction of enterprise human resource allocation model based on multi-objective particle swarm optimisation algorithm

Authors: Lidan Wang; Qiuyan Guo

Addresses: School of Tourism & Urban-Rural Planning, Xichang University, Xichang City, Sichuan Province, China ' School of Mechanical and Electrical Engineering, Xichang University, Xichang City, Sichuan Province, China

Abstract: The irrationality of human resource allocation and the unfitness of talent positions make it difficult for the original human resource management model of the enterprise to give full play to its actual effect to a certain extent, which has a negative impact on the overall economic benefits of the enterprise. Therefore, this research combines the perspective of multi-objective problems and the particle algorithm with the characteristics of fast convergence, simplicity and parallel search, makes a systematic study of multi-objective optimisation and introduces matrix criteria to the configuration model for testing. The results show that, the improved multi-objective particle swarm optimisation algorithm has the highest accuracy of 98.54% on the data set, and the classification performance and combination mode of the algorithm have good application results. At the same time, the human resource model under the algorithm makes the maximum enrolment rate reach 9% and the maximum decline of turnover intention reach 10%. The optimisation of enterprise human resource allocation model can realise the high efficiency of the overall system of the enterprise and promote its long-term benign development.

Keywords: multi-objective particle swarm optimisation algorithm; enterprise development; human resource allocation model; employee satisfaction evaluation.

DOI: 10.1504/IJWMC.2023.129090

International Journal of Wireless and Mobile Computing, 2023 Vol.24 No.1, pp.74 - 82

Received: 21 Apr 2022
Received in revised form: 11 Aug 2022
Accepted: 11 Sep 2022
Published online: 17 Feb 2023 *

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